code: def mt_df(engine: Engine):
      if engine == Engine.DASK:
          import dask.dataframe
  
          return dask.dataframe.from_pandas(
              pd.DataFrame(), npartitions=1
          )
  
      if engine == Engine.DASK_CUDF:
          import cudf, dask_cudf
  
          return dask_cudf.from_cudf(
              cudf.from_pandas(pd.DataFrame()), npartitions=1
          )
  
      cons = get_df_cons(engine)
      return cons()
  
imports: from typing import TYPE_CHECKING, Any, Dict, List, Optional
  from .Engine import Engine, DataframeLike, DataframeLocalLike
  import numpy, pandas, pyarrow, sys
  from .util import setup_logger
label_desc: Use image node_id 8 for calling a global function with example usage: mt_df(engine) and returns: cons, dask, dask_cudf